Linking translation memories with example-based machine translation
13238Authors
nan
Abstract
AbstractThe paper reports on experiments which compare the translation outcome of three corpus-based MT systems, a string-based translation memory (STM), a lexeme-based translation memory (LTM) and the example-based machine translation (EBMT) system EDGAR. We use a fully automatic evaluation method to compare the outcome of each MT system and discuss the results. We investigate the benefits for the linkage of different MT strategies such as TMsystems and EBMT systems.
Keywords
Full Content
MT Summit VII Sept. 1999 Translation Technology Applications to the Localization Industry Michael Anobile Director, Localization Industry Standard Association (LISA) - 55- MT Summit VII Sept. 1999 - 56- MT Summit VII Sept. 1999 - 57- MT Summit VII Sept. 1999 - 58- MT Summit VII Sept. 1999 - 59- MT Summit VII Sept. 1999 - 60- MT Summit VII Sept. 1999 - 61- MT Summit VII Sept. 1999 - 62-
Labeled Text
AbstractThe paper reports on experiments which compare the translation outcome of three corpus-based MT systems, a string-based translation memory (STM), a lexeme-based translation memory (LTM) and the example-based machine translation (EBMT) system EDGAR. We use a fully automatic evaluation method to compare the outcome of each MT system and discuss the results. We investigate the benefits for the linkage of different MT strategies such as TMsystems and EBMT systems.
Publication Details
- Paper ID:
- 13238
- Year:
- 1999
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan